PnP-UGCSuperGlue: deep learning drone image matching algorithm for visual localization-Reference-Cited by-同舟云学术

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PnP-UGCSuperGlue: deep learning drone image matching algorithm for visual localization

Published:2024-05-01 Issue:12 Volume:80 Page:17711-17740
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Guo Ya,Yang Fan,Si Yazhong,Yang Yipu,Zhang Wei,Zhang Xiaolong,Zhou Yatong

Funder

the Special Foundation for Beijing Tianjin Hebei Basic Research Cooperation

the Inner Mongolia Discipline Inspection and Supervision Big Data Laboratory

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11227-024-06128-3.pdf

Reference40 articles.

1. Shendryk Y, Sofonia J, Garrard R, Rist Y, Skocaj D, Thorburn P (2020) Fine-scale prediction of biomass and leaf nitrogen content in sugarcane using UAV LiDAR and multispectral imaging. Int J Appl Earth Observ Geoinf 92:102177. https://doi.org/10.1016/j.jag.2020.102177

2. Budiyono A, Higashino SI (2023) A review of the latest innovations in UAV technology. J Instrument Autom Syst 10(1):7–16. https://doi.org/10.5281/zenodo.8062292

3. ZHANG J (2021) Review of the light-weighted and small UAV system for aerial photography and remote sensing. National Remote Sens Bull 25(3):708-724. https://doi.org/10.11834/jrs.20210052

4. Gupta A, Fernando X (2022) Simultaneous localization and mapping (slam) and data fusion in unmanned aerial vehicles: recent advances and challenges. Drones 6(4):85. https://doi.org/10.3390/drones6040085

5. Zhou T, Hasheminasab SM, Habib A (2021) Tightly-coupled camera/LiDAR integration for point cloud generation from GNSS/INS-assisted UAV mapping systems. ISPRS J Photogram Remote Sens 180:336–356. https://doi.org/10.1016/j.isprsjprs.2021.08.020

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